{"id":"https://openalex.org/W2792493786","doi":"https://doi.org/10.3233/jifs-169456","title":"Semi supervised approach towards subspace clustering","display_name":"Semi supervised approach towards subspace clustering","publication_year":2018,"publication_date":"2018-03-22","ids":{"openalex":"https://openalex.org/W2792493786","doi":"https://doi.org/10.3233/jifs-169456","mag":"2792493786"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-169456","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169456","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042124464","display_name":"Sandhya Harikumar","orcid":"https://orcid.org/0000-0003-0236-5532"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sandhya Harikumar","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026532188","display_name":"A. Akhil","orcid":"https://orcid.org/0009-0006-8574-9636"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.S. Akhil","raw_affiliation_strings":["Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Amritapuri, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042124464"],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.8144,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78842851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"34","issue":"3","first_page":"1619","last_page":"1629"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8512068390846252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7244914174079895},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6808483600616455},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6263898015022278},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.5871111154556274},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5736599564552307},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5543614029884338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49896979331970215},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44440793991088867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2099882960319519}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8512068390846252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7244914174079895},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6808483600616455},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6263898015022278},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.5871111154556274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5736599564552307},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5543614029884338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49896979331970215},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44440793991088867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2099882960319519},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-169456","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-169456","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311327","display_name":"Amrita Vishwa Vidyapeetham University","ror":"https://ror.org/03am10p12"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W219179425","https://openalex.org/W1562753845","https://openalex.org/W1585743408","https://openalex.org/W1608549042","https://openalex.org/W1619226191","https://openalex.org/W1672197616","https://openalex.org/W1959178355","https://openalex.org/W1977496278","https://openalex.org/W2040884411","https://openalex.org/W2051224630","https://openalex.org/W2065811242","https://openalex.org/W2079361215","https://openalex.org/W2080476941","https://openalex.org/W2080816440","https://openalex.org/W2112210867","https://openalex.org/W2115875363","https://openalex.org/W2149706766","https://openalex.org/W2165533158","https://openalex.org/W2276352092","https://openalex.org/W2578347846","https://openalex.org/W3003734944","https://openalex.org/W4210997624","https://openalex.org/W4236137412","https://openalex.org/W4244268470","https://openalex.org/W6608677842","https://openalex.org/W6647676880","https://openalex.org/W6704051617"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W3172436493","https://openalex.org/W4287164812","https://openalex.org/W2957492749","https://openalex.org/W1887135636","https://openalex.org/W4289378085","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"High-dimensional":[0],"data":[1,22,120,129,155],"analysis":[2],"is":[3,104,131],"quite":[4],"inevitable":[5],"due":[6],"to":[7,91,139],"emerging":[8],"technologies":[9],"in":[10,25,53,76],"various":[11],"domains":[12,27],"such":[13],"as":[14,45],"finance,":[15],"healthcare,":[16],"genomics":[17],"and":[18,162],"signal":[19],"processing.":[20],"Though":[21],"sets":[23,130,156],"generated":[24],"these":[26],"are":[28,36,48],"high-dimensional,":[29],"intrinsic":[30],"dimensions":[31],"that":[32,106],"provide":[33],"meaningful":[34],"information":[35,123],"often":[37],"much":[38],"smaller.":[39],"Conventionally,":[40],"unsupervised":[41],"clustering":[42,47,77,146],"methods":[43],"known":[44,116],"subspace":[46,101],"utilized":[49],"for":[50,118,137,175],"finding":[51],"clusters":[52,166],"different":[54],"subspaces":[55,138],"of":[56,65,110,160],"high":[57],"dimensional":[58],"data,":[59],"by":[60],"identifying":[61],"relevant":[62],"features,":[63],"irrespective":[64],"labels":[66,126],"associated":[67,127],"with":[68,87,128,133],"each":[69,119],"instance.":[70,121],"Available":[71],"label":[72,117],"information,":[73],"if":[74],"incorporated":[75],"algorithm,":[78],"can":[79],"bias":[80],"the":[81,115,125,134,158,165],"algorithm":[82],"towards":[83],"solutions":[84],"more":[85],"consistent":[86],"our":[88],"knowledge,":[89],"leading":[90],"improved":[92],"cluster":[93],"quality.":[94],"Therefore,":[95],"an":[96,169],"Information":[97],"Gain":[98],"based":[99,113,145],"Semi-supervised-":[100],"Clustering":[102],"(IGSC)":[103],"proposed":[105],"identifies":[107],"a":[108,143],"subset":[109],"important":[111],"attributes":[112],"on":[114,150],"The":[122],"about":[124],"integrated":[132],"search":[135],"strategy":[136],"leverage":[140],"them":[141],"into":[142],"model":[144],"approach.":[147],"Our":[148],"experimentation":[149],"13":[151],"real":[152],"world":[153],"labeled":[154],"proves":[157],"feasibility":[159],"IGSC":[161],"we":[163],"validate":[164],"obtained,":[167],"using":[168],"improvised":[170],"Davies":[171],"Bouldin":[172],"Index":[173],"(DBI)":[174],"semi-supervised":[176],"clusters.":[177]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}